Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .venv/bin/huggingface-cli from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 242 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/bin/huggingface-cli
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/bin/huggingface-cli
-
curl -L -o huggingface-cli https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/bin/huggingface-cli
242 Bytes
| #!/Users/jonl/Desktop/model/.venv/bin/python3.14 | |
| import sys | |
| from huggingface_hub.commands.huggingface_cli import main | |
| if __name__ == '__main__': | |
| if sys.argv[0].endswith('.exe'): | |
| sys.argv[0] = sys.argv[0][:-4] | |
| sys.exit(main()) | |